Lead Data Engineer - Databricks (Remote)

We help global enterprises launch digital products that reach millions of users. Our work spans massive datasets, scalable pipelines, and critical business challenges across industries.What You'll DoLead technical direction for data engineering initiatives.Architect scalable data pipelines and systems using PySpark, AWS, and DatabricksGuide and mentor a team of engineers, fostering best practices and code qualityCollaborate with stakeholders across product, engineering, and data teamsSolve enterprise-scale data challenges that impact real-world business outcomesWhat We're Looking For10+ years in data engineering or related rolesExperience leading technical teams or projectsStrong hands-on expertise in Python, SQL, PySpark, AWS, and DatabricksDeep understanding of data architecture and pipeline designExcellent communication and leadership skillsFluent in English (spoken and written)The job is 100% Remote; please ensure you have a comfortable office set at your desired work location.Salary range: CA$90,000 - CA$181,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.Location:This is a fully remote position; however, candidates must be based in regions that align with the Pacific,Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including:Flexible working hours in a remote environment.Health insurance (medical and dental) for T4 Employees.A professional development fund to enhance your skills and knowledge.15 days of paid time off annually.Access to soft-skill development courses to further your career.This is a full-time position requiring a minimum of 40 hours per week, Monday through FridayThis is an evergreen opening with no set deadline; we're always excited to connect with professionals who want to help us build the futureJ-18808-Ljbffr